18212725. Automatic Identification of Important Batch Events simplified abstract (ABB SCHWEIZ AG)
Contents
Automatic Identification of Important Batch Events
Organization Name
Inventor(s)
Martin Hollender of Dossenheim (DE)
Benedikt Schmidt of Heidelberg (DE)
Automatic Identification of Important Batch Events - A simplified explanation of the abstract
This abstract first appeared for US patent application 18212725 titled 'Automatic Identification of Important Batch Events
The method described in the patent application involves automatically identifying important batch events for a batch execution alignment algorithm by analyzing historical batch data of a batch process. This data includes multiple batch executions, each consisting of various batch events indicating specific process events, and time series of process variables showing the development of these variables during the batch process. By determining the distance between the time series of batch executions for each batch event, the algorithm can pinpoint the most crucial events for alignment.
- The method involves receiving historical batch data of a batch process.
- Each batch execution comprises batch events and time series of process variables.
- The algorithm calculates the distance between time series of batch executions for each batch event.
- Important batch events for alignment are identified based on the smallest distance.
Potential Applications: - Manufacturing processes optimization - Quality control in batch production - Process automation in industrial settings
Problems Solved: - Streamlining batch execution alignment - Enhancing process efficiency and accuracy - Improving batch process monitoring
Benefits: - Increased productivity - Reduced errors in batch processes - Enhanced decision-making based on accurate data
Commercial Applications: Title: Automated Batch Event Identification for Process Optimization This technology can be utilized in various industries such as pharmaceuticals, food production, and chemical manufacturing to streamline batch processes, improve quality control, and optimize production efficiency.
Questions about the technology: 1. How does this method differ from traditional batch process monitoring techniques? 2. What are the key factors considered in determining the importance of batch events for alignment?
Original Abstract Submitted
A method for automatic identification of important batch events for a batch execution alignment algorithm, including receiving historical batch data of a batch process, wherein the historical batch data comprises a plurality of batch executions, and wherein each of the plurality of batch executions comprises a plurality of batch events, indicating a specific event of the batch process, and at least one time series of a process variable, indicating a development of the process variable during the batch process; determining a distance between the at least one time series of the plurality of the batch executions for each of the plurality of batch events; and identifying at least one important batch event for a batch execution alignment algorithm with a smallest distance using the determined distances.
